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codecalc

제작자: The-40-Thieves버전 0.13.0i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.The-40-Thieves/codecalc

설치

개요

제작자가 쓴 설명(영어 원문)

Code & logic calculator for AI agents: 31 languages, symbolic math, SMT/logic solving, Big-O.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 기타

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • PyPIPython의 uv 설치(uvx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "codecalc": {
      "command": "uvx",
      "args": [
        "codecalc"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add codecalc -- uvx codecalc

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "codecalc": {
      "command": "uvx",
      "args": [
        "codecalc"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "codecalc": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "codecalc"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 The-40-Thieves 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32484개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32484개 중 47%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32484개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

codecalc, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.13.0)은 2개월 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Recta

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Spec Driven Development

제작자: formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트
설치

Remote Desktop Commander

제작자: desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

클라우드에서 실행★ 211어제 업데이트
설치

Recta

제작자: RectaBuild

Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.

컴퓨터 또는 클라우드오늘 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

codecalc — universal code & logic calculator for AI models

**codecalc is an offline, self-hosted MCP server that gives an AI agent a calculator, a code runner, and a logic checker — so it gets a *correct* answer instead of a guessed one. It runs code in 31 languages, does exact symbolic math, solves SMT/logic problems, and measures complexity, all exposed as 51 MCP tools**.

Fastest path: uvx 'codecalc[full]' setup --write registers codecalc with your MCP client automatically. New to MCP, or want more detail first? See QUICKSTART.md, or the Install section below.

Three things nobody else offers together cleanly:

  • Offline-core — ships no model, no API key, no gateway, no telemetry. The core opens no sockets; network access is opt-in and only where a specific tool's job needs it (the Piston provider, install_package, the runtime-update tools, executed code unless no_net, and a one-time in-process grammar download on first analyze_complexity — full breakdown in the network-boundary table below).
  • Safe execution of untrusted code — an opt-in *strict* isolation boundary (gVisor+Docker on Linux, AppContainer on Windows) layered above the default rlimit sandbox, fail-closed and attested.
  • Verification tools — verify_translation proves a port to another language behaves identically, verify_optimization proves an optimization preserved behavior, and z3_check proves or refutes logic with an SMT solver.

When to use codecalc

Use it when you want a free, local, private, hardened code-runner and verifier that an MCP agent can call directly — no vendor account, no cloud spend, nothing leaving the machine except where a tool's job explicitly requires it.

Reach for something else when you want managed cloud scale instead of self-hosting (a hosted sandbox like E2B or Modal), or when you're not self-hosting at all and the model vendor's built-in code interpreter already covers what you need.

codecalc vs. the alternatives

codecalc is not a general cloud sandbox and not a vendor code interpreter. It overlaps with several things and beats them in only one narrow place — forcing a model to *measure* a claim instead of asserting it. Where that isn't what you need, one of these is the better tool, and this table says so plainly.

You want…Better fitWhy
To just run some Python/JS quickly, zero setupYour model vendor's built-in interpreterAlready there, already sandboxed, nothing to install. Anthropic's code-execution tool has internet access "completely disabled" and cannot install packages at runtime; OpenAI's hosted containers have no outbound network access by default, with an org-level network_policy allowlist as an opt-in. Both return output artifacts by reference (Anthropic a file_id via the Files API, OpenAI a container_file_citation) rather than inline (Anthropic code-execution tool docs, https://platform.claude.com/docs/en/agents-and-tools/tool-use/code-execution-tool; OpenAI shell/container tool guide, https://developers.openai.com/api/docs/guides/tools-shell; both retrieved 2026-09-07)
Heavy or multi-tenant workloads, managed scaleA cloud sandbox (E2B, Modal, Daytona)Per-tenant Firecracker/gVisor isolation codecalc does not claim by default
Pure arithmetic or symbolic math, nothing elseA small calculator or SymPy MCPLower token cost; none of the 31-language runtime machinery
A model to stop _guessing_ numbers, equivalence, and speedups — locally, privately, with graded evidencecodecalcExact rationals, verify_translation/verify_optimization, and unenforced/grade honesty — offline, no account

Do not reach for codecalc if you need multi-tenant or network-exposed isolation (its threat model is explicitly single-operator, local, stdio), if zero-setup convenience matters more than measurement, or if a hosted interpreter already covers your case. It earns its keep only when the *correctness of the claim* — not just "it ran" — is the point.

Install

Quickstart with codecalc setup

The fastest path to a working MCP connection, without reading the rest of this section:

uvx 'codecalc[full]' setup            # prints what it would do — nothing on disk changes

uvx 'codecalc[full]' setup --write # applies it: merges your client's config, copies the skill

It detects which MCP client is installed (Claude Desktop, Claude Code, Cursor, VS Code, Zed — pass --client=NAME if none or several are found), reuses codecalc doctor's own backend/extras/grammar-cache checks, prints the exact config block in that client's own JSON shape with absolute paths already filled in, runs two real canaries (execute_code, evaluate_expression) to prove the connection would work, and ends in one verdict: ready / degraded / not-ready. --write is the only mode that changes anything — it MERGES the codecalc entry into your existing client config (every other server stays exactly as it was) and backs up the original to .codecalc-bak first. codecalc --help lists every subcommand.

[!NOTE]

Published as `codecalc` 0.13.0 on PyPI (pip install codecalc) and the

`codecalc-exec` 0.13.0 executor on crates.io

(#91). Every release

artifact carries a keyless sigstore build-provenance attestation — verify

one with gh attestation verify --repo The-40-Thieves/codecalc; PyPI

wheels additionally carry PEP 740 attestations.

Where to find codecalc
WhereWhat you getLink
PyPIpip install codecalc / uvx codecalcpypi.org/project/codecalc
crates.iothe codecalc-exec Rust executor cratecrates.io/crates/codecalc-exec
GitHub Releaseswheels for every platform, the executor binaries, the .mcpb bundle, an SBOM, and SHA256SUMSgithub.com/The-40-Thieves/codecalc/releases
MCP registry (official)the io.github.The-40-Thieves/codecalc server entry server.json publishes toregistry.modelcontextprotocol.io
Smitheryhosted listing and one-click client configsmithery.ai/servers/@The-40-Thieves/codecalc
Glamahosted listing and the score badge aboveglama.ai/mcp/servers/The-40-Thieves/codecalc
MCPB (Claude Desktop)the drag-and-drop bundle, attached to every GitHub Releasesee GitHub Releases, above
Docker MCP Catalogthe mcp/codecalc image Docker builds from this repo's docker/mcp-server.Dockerfile, for Docker Desktop's MCP Toolkit (docker mcp server enable codecalc)submitted as docker/mcp-registry#5025; listed at hub.docker.com/mcp/server/codecalc once merged

Not yet listed: PulseMCP and mcp.so do not carry a codecalc entry yet; the Docker MCP Catalog entry is pending review. PulseMCP's own submission page (checked 2026-09-08) says it is not accepting new submissions and that publishing to the official MCP registry — already done, row above — is what it indexes from once submissions reopen, so there is nothing to submit there today. mcp.so takes a submission through its own form. See docs/distribution.md for the exact steps, kept there rather than here because submitting is an action for whoever runs it, not a fact about the current release.

The published install (simplest — no build step, and what most people want):

uvx 'codecalc[full]'          # run it directly, no environment to manage

or

pip install 'codecalc[full]' # into your own virtualenv

From source, if you would rather build the executor yourself:

git clone https://github.com/The-40-Thieves/codecalc

cd codecalc uv sync --all-extras # or: pip install -e '.[full]' cargo build --release --manifest-path executor/Cargo.toml mkdir -p bin # bin/ is gitignored, so a fresh clone has none cp executor/target/release/codecalc-exec bin/ uv run codecalc doctor # verify: backend should read rust

Without the cargo build, everything still runs on the pure-Python fallback — doctor will say so, and the network table below says what that costs.

Why `[full]`. The base install is the MCP surface and the sandbox executor: 31 language runtimes, sessions, packages, ~32 MB. The symbolic half — sympy and z3 — is 88.6 MB measured, and a caller who only runs code should not download an SMT solver to do it. So it is an extra:

installsizewhat you get
codecalc~32 MBexecute_code, sessions, packages, complexity-free tools
codecalc[symbolic]+83 MBevaluate_expression, solve, limits, truth tables, z3, units
codecalc[parsing]+5 MB installed, +89 MB fetched on first useanalyze_complexity via tree-sitter
codecalc[full]~120 MBeverything

Nothing fails silently: a tool whose extra is missing returns {"ok": false, "error": "sympy is not installed. It ships in the 'symbolic' extra: pip install 'codecalc[symbolic]' ..."}, and codecalc doctor lists which extras are present before you make a call.

Editions

Four names for the capability sets above, plus the two that live outside pyproject.toml entirely — a Docker image and an opt-in isolation boundary. The invariant that makes "edition" a meaningful word here: in the edition that lists a tool, that tool is functional — never listed-but-missing-its-extra. A tool an edition doesn't have returns the dependency_missing contract error naming the extra that provides it (see above), not a silent failure or a tool that appears to exist and doesn't work.

EditionInstallWhat you get
Fulluvx 'codecalc[full]' / pip install 'codecalc[full]'The recommended local product: the native (Rust) executor, symbolic tools (evaluate_expression, symbolic, z3_check, …), and parsing (analyze_complexity). Everything this README documents actually runs.
Coreuvx codecalc / pip install codecalcExecution + non-symbolic tools only — the base install in the table above. Every symbolic/parsing tool is still *listed* by tools/list (MCP doesn't support per-install schemas), but calling one returns dependency_missing naming the extra, before any other work happens.
Dockerdocker build -f docker/mcp-server.Dockerfile .The MCP server itself, packaged to run as an ordinary container. Core-shaped by default: ships python3/node/ruby/php/perl/gawk/lua/c/cpp/jq/sqlite3 and the default rlimit sandbox — symbolic/parsing are absent by design (no [full] in the base image; see the Dockerfile's own comment for why, including an arm64 z3-solver wheel gap). --build-arg CODECALC_EXTRA=full adds them. This image cannot nest the Strict Host boundary below inside itself (no privileged docker-in-docker), and codecalc doctor inside it says so rather than claiming a boundary it doesn't have.

| Strict Host | opt-in; CODECALC_STRICT_URL (client) or the gVisor+Docker host itself (server) — see docs/deployment/README.md | Not an install, a *boundary*: the gVisor runsc sandbox on Linux, or AppContainer hardening on Windows, layered above whichever install above is already running. Fails closed — no digest pinned, no fallback to unenforced

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